Can You Become an AI Engineer
Without a CS Degree?
Yes. I don't have one. Neither do many successful AI engineers I know.
What matters is demonstrable skills and a portfolio that proves you can build production AI systems.
Every Job Posting Says 'CS Degree Required.'
Is That Actually True?
You see 'Bachelor's in Computer Science required' on every AI job posting. It feels like a locked door.
You're told AI is all about math and theory. Without a degree, you worry you're at a fundamental disadvantage.
You've invested years in a different career. Going back for a 4-year degree isn't realistic.
Skills > Credentials. Here's What Actually Gets You Hired.
The World-Class AI Engineer Cohort
I went from software tester to Senior AI Engineer roles at top tech companies without a CS degree. Companies hire based on what you can do, not what piece of paper you have.
Build the Skills
Python, AI fundamentals, production systems. Learn what actually matters.
Prove It With Projects
A portfolio of deployed AI apps beats any credential
Position Strategically
Target companies that value skills over pedigree
Meet Your Mentor
My aim has been the same for years: become a world-class AI engineer. Every career move I've made has been measured against that.
I started as a software tester on a $500/month internship in the Netherlands. Taught myself to code, learned to ship real systems, and worked my way to Senior Engineer at GitHub.
Then I left GitHub. I joined an AI research lab as Member of Technical Staff, where I currently build products for secure AI monitoring.
The cohort draws directly from my real experience so you can make progress fast.
I run this special cohort with only a few people because hands-on work with me is what it takes to bring you to become a world-class AI engineer.
Real Results
Vittor
AI Engineer
Built and deployed his portfolio piece, then landed the AI role
"The coaching played a huge part in my success. I focused on AI fundamentals, the certification path, and soft skills like professional writing. Having access to expert guidance gave me confidence during interviews and helped me feel I was on the right path.
I built my own platform (simple but functional) and deployed it on AWS. I used it in my portfolio and showcased it during interviews. The way complex topics were explained, especially the restaurant analogy for AI systems, really stuck with me. Focusing on doing the basics well was absolutely essential."
What You Will Get
8 Weekly Tuesday Sessions
3 hours each for 24 live hours total.
Project Scoping at Kickoff
We set the scope of what you'll ship and the milestones to get there before the live sessions start.
Code Reviews
Reviews of your code from Zen during the cohort.
Lifetime Demo Access
Every architecture demo is recorded and yours to keep.
Demo Day
You present what you built and get feedback from Zen, with a recording you can use in your portfolio.
12 Months Community Access
Included with the cohort.
While You Wonder If It's Possible, Others Without Degrees Are Getting Hired
Frequently Asked Questions
What can substitute for a CS degree in AI hiring?
A strong portfolio of production-ready AI projects. Hiring managers care about what you can build, not where you studied. 2-3 deployed AI applications demonstrating end-to-end skills (data handling, model integration, deployment) carry more weight than any degree. Add to that a clear explanation of your technical decisions, and you're competitive.
Do I need advanced math without a CS background?
Not for AI implementation roles. AI engineers use existing models and APIs. You don't need to derive gradients or prove theorems. Basic statistics and linear algebra concepts help, but you can learn these on the job. If you can understand what a function does, you can be an AI engineer. Leave the PhD-level math to the researchers.
Can I become an AI engineer by teaching myself?
Yes, but the path matters. Self-taught works when you focus on implementation over theory, build real projects instead of completing tutorials, and get feedback from practitioners. The trap is spending months on courses without building anything. Structured guidance from someone in the industry dramatically accelerates the self-taught path.
How much time will this take?
You'll spend 3 hours every Tuesday in the live session and roughly 3 hours of async work in between, for 8 weeks. The Tuesday session time is fixed.
Can I do this while working full-time?
Yes, most attendees do. The live session is one Tuesday a week and the async work fits around your existing schedule, as long as you can carve out roughly 6 hours a week.
I've signed up for cohorts before and dropped out. How is this different?
It probably isn't, and you should hold the money. Most cohort dropouts are people who couldn't articulate what they were shipping when they signed up. That's why the consult exists, and why I turn down most applications. If we get on the call and you can't tell me what you'll have shipped at the end of week 8, I'll point you to the AI Native Engineer community until you can.
I'm not pivoting careers. I want to build a product. Does this still work?
Yes, the cohort works for people shipping their first serious AI system whether the goal is to land a senior role or to launch a product. The shipped system serves both equally well.
Do I need prior AI experience?
You need to be able to code in Python or TypeScript. Complete beginners can follow the classroom they get access to before the cohort sessions to come in well-prepared.
What does it cost?
It's a four-figure investment that we discuss during the 30-minute consult, alongside whether the cohort is the right fit for your project.
Is a bootcamp a good alternative to a CS degree?
It can be, but bootcamps have trade-offs. They provide structure and community, but cost $10K-$17K and may not offer personalized guidance. The key question: does the bootcamp teach you to build production systems, or just tutorial projects? Some bootcamp graduates still struggle because their portfolio doesn't demonstrate real-world capability.
Which companies hire AI engineers without degrees?
More than you'd think. Startups and mid-size tech companies often prioritize skills over credentials. Even some big tech companies have dropped degree requirements for engineering roles. The key is demonstrating capability through your portfolio, not convincing HR to overlook a missing checkbox.
I accept those who have the highest chance of success.
In the 30-minute call we discuss your goals and whether you are ready for the program.